Daniel Hameed
Papers
8
Total Citations
56
H-Index
5
About
Daniel Hameed is a leading orthopedic researcher whose work centers on the transformative role of robotic-arm-assisted technology in lower extremity arthroplasty. His primary contributions lie in demonstrating how CT-guided, three-dimensional robotic systems improve surgical precision, soft-tissue balance, and long-term implant survivorship in total knee and hip arthroplasty. Notably, his 2023 study on robotic-assisted total knee arthroplasty (18 citations) established a repeatable method for assessing soft-tissue balance—a critical factor in reducing revision rates, which account for 30–50% of TKA failures. Hameed also advanced health economics with a systematic review (11 citations) analyzing the cost-effectiveness of robotic versus manual surgery, providing evidence for value-based adoption. His development of a three-dimensional-based native alignment phenotype classification system (8 citations) offers a novel framework for planning deformity corrections in TKA. With additional work on acetabular cup outcomes and 10-year survivorship of robotic-arm-assisted unicompartmental knee arthroplasty, Hameed’s research consistently validates the durability and precision of robotic techniques. His publications, spanning high-impact journals, have collectively garnered over 56 citations, positioning him as a key voice in the shift toward personalized, technology-driven arthroplasty.
Research Focus
Key Achievements
Top Papers
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